Related skills
kubernetes go ruby llms rag📋 Description
- Lead roadmap for conversational AI stack (LLMs, RAG, agents)
- Oversee third-party AI integrations and scale in-house LLMs
- Build AI evaluation frameworks and guardrails for compliance
- Develop secure agentic automation via internal APIs
- Define architecture for vector databases, prompts, and context
- Ensure AI services reliability, latency, and cost controls
🎯 Requirements
- 8+ years software engineering, 2+ years leading teams
- Hands-on AI/ML leadership; shipping LLM-powered products
- Systems thinking; experience with RAG pipelines and real-time knowledge grounding
- Platform mindset; scalable distributed systems; Go, Ruby or similar
- Evaluation obsessed; quantitative evaluation for hallucination, accuracy, and sentiment
- Security & Safety First: AI guardrails to prevent data leaks or hallucinated financial advice
🎁 Benefits
- Remote-first culture with occasional on-site collaboration
- Regular team offsites and company events
- Opportunity to work on cutting-edge AI in crypto
- Inclusive, Equal Opportunity employer with accommodations
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